Abstract
This paper develops a simple model of corruption between a tax inspector and a taxpayer in which inspectors’ heterogeneity helps explain why it may be optimal for a revenue-maximizing government to tolerate corruption. In our model, tax inspectors could accept a bribe from a taxpayer for under-reporting his income or to avoid harassment in the form of red tape. The government’s problem is to design a tax policy and the associated monitoring probability to enforce it. Raising tax rates increases enforcement costs as it increases bribery incentives, so it is optimal not to set tax rates at a too high level. The optimal tax policy includes an optimal supervision level required to reduce corruption, which in turns depends on tax collectors’ capacity to impose red tape on taxpayers. When bureaucrats are heterogeneous in terms of their capacity to impose red tape costs, an intermediate detection probability might be appropriate efficiency-wise even if it means tolerating some level of corruption. Bureaucrats’ heterogeneity as the likely source of observation of corruption in equilibrium is generic to various environments in which agents’ delegated power is misused for private gains and various examples are discussed in the paper. We also show how a government could face lose–lose as well as win–win situations in the conduct of its revenue collection policies.
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Notes
Tanzi (2002) argues that officials from different administration, not just fiscal agencies, take advantage of regulation opacity to further their private interests. Svensson (2003) corroborates Banerjee (1997)’s theoretical findings and shows that bureaucrats’ discretionary power allows them to set prices of public services proportional to firms’ capacity to pay.
In Cameroon for instance, 34 % of manufacturing firms reported fearing being closed by tax officials, (Gauthier and Gersovitz 1997).
Laffont and Tirole (1992) examine the effect of incentives schemes and monitoring to prevent collusion in the context of procurement and regulation. They discuss different cases where a supervisor might engage in side-payments with different types of firms and suggest a set of corresponding incentives schemes to avoid collusion in equilibrium in the context of a representative supervisor. In presence of heterogeneous supervisors, as in our model, it would be optimal for a rent maximizing regulator to tolerate some collusion given the cost of monitoring and incentive schemes. However, this reduces regulator’s rent.
Mookherjee and Png (1995) model a situation of evasion of civic responsibilities in the context of environmental regulation.
Olken and Barron (2007) analyzed bribe payments made by truck drivers in response to extortion by policemen, soldiers and weigh station employees in Indonesia. Bribes represent in aggregate 13 % of the marginal cost of a trip.
The model could be easily amended to account for various situations, e.g., profits or revenues can serve as a proxy for instance for the level of polluting emissions by a firm or value of imports.
Variable T should be interpreted as the aggregate amount of liabilities paid by a taxpayer whether these liabilities stem from direct taxation, custom, tariffs, fees for permits and licenses, fines for pollution, or other payments requested by an inspector or public servant (e.g. a member of the police or the army), etc.
In a situation where the firm can be audited by another public employee after the bribe and tax payment negotiation, we can include a fine, A, in constraint (1b) without changing our main findings. In such a case, the fine would reduce the amount of the bribe, b, paid so that \(A + b \le T + c\) could simply be \(B \le T + c\). We could also consider the case where a firm has to pay a fine plus its tax obligations when caught and thus weighs the benefits of being corrupt against those of being honest. In such a case, the firm’s constraint becomes: \((T+A)(p) + B(1-p) \le T + c\). However, we focus on the simplest case where only the bureaucrat is penalized when evasion is discovered. We also note from firm constraint (1a) that firms will endure some red tape before choosing to pay a bribe.
The model could easily be amended so that the outside option of a bureaucrat is different than zero. For example, we could assume that bureaucrats have to pay a fine F when caught with probability p in Eq. (2a). This only affects the level and not the qualitative nature of the results. For the sake of expositional clarity, we assume that F \(= 0\).
We have also examined the effect of a convex cost function. However, the added complexity does not affect the qualitative results below.
Note that at equilibrium, bureaucrats are still imposing red tape costs. These represent losses from the governmental point of view or can be seen as efficiency losses from the part of firms. We have in mind the situation of developing countries with inefficient legal systems, where bureaucrats do not fear being caught and try to extract bribes whenever their opportunity cost is low enough.
Area \(\hbox {0A}p_{1}\) includes red tape cost. For simplicity, we assume that this cost is constant and that tax revenues and bribe amounts differ only by this constant.
The same would be true if we were to analyze the situation with incentive wages where, for example, we increased w to \(w_{2}\) which would make bureaucrats’ constraint B \(=\) pw/(1 \(-\) p) go from the origin, through point B and onwards (dotted line on Fig. 2). Transfers would then be in the form of taxes and would correspond to area \(\hbox {0B}p_{1}\). Both corrections are equivalent and yield the same revenues.
For example, custom agents are in a position to impose delays and other costly impediments on a firm’s imports or exports (Sequeira and Djankov 2008). Also, bureaucrats delivering permits and licenses may create red tape to discriminate among clients in a queue with a higher valuation of time in order to extract a bribe in exchange for faster procedures (Lui 1985).
- $$\begin{aligned} \begin{array}{lll} \tau _{1} < \tau _{2} &{} \quad \hbox {if}, &{} \quad {\frac{p}{1 - p}} {\frac{w}{V}} - {\frac{c_{1}}{V}} < {\frac{p}{1-p}} {\frac{w}{V}} - {\frac{c_{2}}{V}} \\ &{}&{} \Leftrightarrow -c_{1} < -c_{2} \\ &{}&{}\Leftrightarrow c_{1} > c_{2} \end{array} \end{aligned}$$
Fiscal obligations and costs paid to type 1 bureaucrats under the regime with tax rate \(\tau _{2}\), equivalent to \(T_{2} + c_{1}\), are obviously greater than obligations paid to type 2 bureaucrats, which are equivalent to \(T_{2} + c_{2}\) since \(c_1 > c_2\).
This is very similar to the maximization problem considered in the basic model, the only difference being that \(\eta = 0\) and firms could not reduce their bribe amounts through negotiations.
Note that the bargaining model is a generalization of the model without bargaining power. Indeed, setting \(\eta =0\) and allowing for homogeneity in bureaucrats type leads back to Eq. (1b).
Note that B\(_{\mathrm{min}}\) also corresponds to \(p_{2} w/(1-p_{2})\) in Fig. 3.
Also, \(B_{\mathrm{max}}\) corresponds to \(T_{2}+c_{1}\) in Fig. 3.
See Besley and Mclaren (1993) for a complete discussion on wage incentives in administration in developing countries.
These are net of tax transfers to the government and to corrupt bureaucrats.
A normative analysis of social costs is also available upon request.
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Acknowledgments
This paper was previously circulated as “The effect of fiscal policy and corruption control mechanisms on firms’ growth and social welfare: theory and evidence”. We thank participants at various seminars and conferences. We thank an anonymous referee and the associate editor for their insightful comments.
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Appendix
Appendix
Proof of proposition 1
Net tax revenues to the government are as follows:
We calculate the critical proportion of type 1 bureaucrats yielding higher net revenues under a flexible regime than under a no-corruption regime:
where:
Thus,
Substituting,
We have:
Solutions to this inequality are:
Hence, \((1 - x_1^2) > \pi _{1} > (1 - x_2^2)\) \(\square \)
Proof of Proposition 2
Social costs under the no-corruption regime \((SC_{sc})\) are:Footnote 26
While social costs under the flexible regime \((SC_{c})\) are:
Comparing these costs, we have:
This inequality always holds since \(p_{1} > p_{2}\). Social costs are thus lower under a policy that allows some level of corruption then under a fiscal regime that completely eliminates it.Footnote 27
Let us turn now to the costs imposed on firms \((FC_{sc})\) under these two fiscal regimes. Under the no-corruption regime, firm costs are:
Costs imposed on firms \((FC_{c})\) under the flexible regime are:
Comparing these costs, we have:
If we compare the first term of each equation, we note that:
While for the second term, we have:
This implies that the costs imposed on firms are higher under the flexible regime. Hence, while the flexible regime yields higher net tax revenues and lower social costs than the no-corruption regime, we see that the costs imposed on firms are greater under the flexible regime than under the no-corruption regime. Under the flexible regime, corrupt firms pay bribes equal to \(T_{2}+c_{1}\) to type 1 bureaucrats, while honest firms pay higher tax transfers (i.e. \(\tau _{2} > \tau _{1}\)). \(\square \)
Proof of Equation (7)
We have:
From first order conditions, we get:
which yields the following relationship:
\(\square \)
Corollary 3
Derivation of critical bargainning power \(\eta ^{*}\).
Proof
To obtain firms’ costs that are lower when a government chooses a flexible fiscal regime, we need:
Hence, \(\upeta >\upeta ^{*}\) to have \(FC_{sc} > FC_{c}\) \(\square \)
Proposition 4c
Under a fixed proportion \(\pi _1\) of corrupt type 1 bureaucrats, there may be an efficient fiscal policy \((\tau _{2l-w}, p_1)\) that we call lose–win where the government sees its tax revenues decrease and firms see their transfers decrease by reducing the tax rate, \(\tau _2\), in order to keep all bureaucrats opportunity cost under \(P_{1}\). In such circumstances the tax rate is:
Proof
Given \((\tau _{2l-w}, p_{1})\), the opportunity cost of both types of bureaucrats is now at \(P_{2 l-w}\) in Fig. 6. The Government’s tax revenues from bureaucrat 2 decline from \(T_{2w-w}+c_{2}\) to \(T_{2l-w}+c_{2}\). However, the situation is to the advantage of firms dealing with type 1 bureaucrats since the lowering of the bureaucrats’ opportunity cost has the effect of lowering the minimal bribe a bureaucrat is willing to accept. In Fig. 6, there is a range (brace \(A_{l-w}\)) where firms with sufficient bargaining power can lower their bribe to an amount smaller than what they would have paid in fiscal obligations under a no-corruption policy \(T_{1}+c_{1}\). We also note that \(B_{min \, l-w}\) is effectively smaller than \(B_{min \, w-w}= T_{1}+c_{1}\). \(\square \)
Corollary to Proposition 4c
There is an optimal tax rate \(\tau _2^{**}\) set accordingly to \(\eta ^{*}\) for which gains made by firms dealing with corrupt type 1 bureaucrats make up for the government’s losses due to the reduction of tax revenues. This optimal tax rate is such that:
Proof
By comparing the effect of the flexible policy and the no-corruption policy on firm cost we obtained a critical bargaining power \(\eta ^{*}\). Transforming this equation and isolating \(\tau _2^{**}\) yields the optimal tax rate under which firms dealing with corrupt bureaucrats minimize their bribes while the government still collects higher tax revenues with a flexible policy than with a no-corruption policy. \(\square \)